Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = -0.2 * weight + 21
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Järmann
1
73 kgTrinkler
3
67 kgRoche
5
74 kgWinnen
7
60 kgKuiper
15
69 kg
1
73 kgTrinkler
3
67 kgRoche
5
74 kgWinnen
7
60 kgKuiper
15
69 kg
Weight (KG) →
Result →
74
60
1
15
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | JÄRMANN Rolf | 73 |
| 3 | TRINKLER Richard | 67 |
| 5 | ROCHE Stephen | 74 |
| 7 | WINNEN Peter | 60 |
| 15 | KUIPER Hennie | 69 |